Evidence map›Paper›PMID 39371163›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Pediatric Long COVID Subphenotypes: An EHR-based study from the RECOVER program.

Vitaly Lorman, L Charles Bailey, Xing Song, Suchitra Rao, Mady Hornig, Levon Utidjian, Hanieh Razzaghi, Asuncion Mejias, John Erik Leikauf, Seuli Bose Brill and 18 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors.

Vitaly LormanApplied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
L Charles BaileyApplied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Xing SongDepartment of Biomedical Informatics, Biostatistics and Medical Epidemiology (BBME), University of Missouri School of Medicine, Columbia, MO, USA.
Suchitra RaoDepartment of Pediatrics, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO, USA.
Mady HornigRECOVER Patient, Caregiver, or Community Advocate Representative, New York, NY, USA.
Levon UtidjianApplied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Hanieh RazzaghiApplied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Asuncion MejiasDepartment of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN, USA.
John Erik LeikaufDepartment of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry and Child Development, Stanford University School of Medicine, Palo Alto, CA, USA.
Seuli Bose BrillDepartment of Internal Medicine College of Medicine, Division of General Internal Medicine, The Ohio State University, Columbus, OH, USA.
Andrea AllenApplied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
H Timothy BunnellBiomedical Research Informatics Center, Nemours Children's Health, Wilmington, DE, USA.
Cara ReedyBiomedical Research Informatics Center, Nemours Children's Health, Wilmington, DE, USA.
Abu Saleh Mohammad MosaDepartment of Biomedical Informatics, Biostatistics, and Medical Epidemiology, University of Missouri School of Medicine, Columbia, MO, USA.
Benjamin D HorneIntermountain Medical Center Heart Institute, Salt Lake City, UT, USA.
Carol Reynolds GearyDepartment of Pathology, Microbiology, and Immunology, University of Nebraska Medical Center, Omaha, NE, USA.
Cynthia H ChuangPenn State College of Medicine, Hershey, PA, USA.
David A WilliamsDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, USA.
Dimitri A ChristakisCenter for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, USA.
Elizabeth A ChrischillesDepartment of Epidemiology, College of Public Health, The University of Iowa, Iowa City, IA, USA.
Eneida A MendoncaDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Lindsay G CowellO'Donnell School of Public Health, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
Lisa McCorkellRECOVER Patient, Caregiver, or Community Advocate Representative, New York, NY, USA.
Mei LiuDepartment of Health Outcomes and Biomedical Informatics, College of Medicine University of Florida, Gainesville, FL, USA.
Mollie R CumminsCollege of Nursing, University of Utah, Salt Lake City, UT, USA.
Ravi JhaveriDivision of Infectious Diseases, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.
Saul BleckerDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Christopher B ForrestApplied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA.

Funding

OTA-21-015A Post-Acute Sequelae of SARS-CoV-2 Infection Initiative: NYU Langone Health Clinical Science Core, Data Resource Core, and PASC Biorepository CoreOT2HL161847 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GROSS, RACHEL SHARON, HORWITZ, LEORA · 2021 to 2025
$651.0M
NHLBI NIH HHS OT2 HL161847
6 · The paper itself

Abstract

Pediatric Long COVID has been associated with a wide variety of symptoms, conditions, and organ systems, but distinct clinical presentations, or subphenotypes, are still being elucidated. In this exploratory analysis, we identified a cohort of pediatric (age <21) patients with evidence of Long COVID and no pre-existing complex chronic conditions using electronic health record data from 38 institutions and used an unsupervised machine learning-based approach to identify subphenotypes. Our method, an extension of the Phe2Vec algorithm, uses tens of thousands of clinical concepts from multiple domains to represent patients' clinical histories to then identify groups of patients with similar presentations. The results indicate that cardiorespiratory presentations are most common (present in 54% of patients) followed by subphenotypes marked (in decreasing order of frequency) by musculoskeletal pain, neuropsychiatric conditions, gastrointestinal symptoms, headache, and fatigue.

Identifiers

PMID39371163
PMCPMC11451761

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.